Evidence map›Paper›PMID 32854494›Full record

ArticleCancer research and treatment2021

Systemic Inflammatory Biomarkers, Especially Fibrinogen to Albumin Ratio, Predict Prognosis in Patients with Pancreatic Cancer.

Lin Fang, Fei-Hu Yan, Chao Liu, Jing Chen, Dan Wang, Chun-Hui Zhang, Chang-Jie Lou, Jie Lian, Yang Yao, Bo-Jun Wang and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 3 pooled it
5.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 3 syntheses or guidelines pooled it, 108 citations in OpenAlex.

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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 4 institutions in 1 country.

Lin FangDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Fei-Hu YanDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Chao LiuDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Jing ChenDepartment of Hematopathology, Anshan Hospital, The First Affiliated Hospital of China Medical University, Anshan, China.
Dan WangDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Chun-Hui ZhangDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Chang-Jie LouDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Jie LianDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Yang YaoDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Bo-Jun WangDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Rui-Yang LiDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Shu-Ling HanDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Yi-Bing BaiDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Jia-Ni YangDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Zhi-Wei LiDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Yan-Qiao ZhangDepartment of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Harbin Medical University · CNThird Affiliated Hospital of Harbin Medical University · CNHeilongjiang Academy of Sciences · CNAnshan Hospital · CN

Funding

Applied Technology Research and Development Plan of Heilongjiang Province GA19C002Beijing CSCO Clinical Oncology Research Y-HS2017-033Beijing CSCO Clinical Oncology Research Y-MX2016-021Haiyan Research Fund JJLX2016-01Haiyan Research Fund JJQN2019-07Haiyan Research Fund JJZD2020-03Heilongjiang postdoctoral fund LBH-Z18140National Natural Science Foundation of China 81672428National Natural Science Foundation of China 81872427, 81773210Wujieping Science Foundation of China 320.6750.15253
6 · The paper itself

Abstract

purposeSystemic inflammatory response is a critical factor that promotes the initiation and metastasis of malignancies including pancreatic cancer (PC). This study was designed to determine and compare the prognostic value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), and fibrinogen-to-albumin ratio (FAR) in resectable PC and locally advanced or metastatic PC. MATERIALS AND

methodsThree hundred fifty-three patients with resectable PC and 807 patients with locally advan-ced or metastatic PC were recruited in this study. These patients were classified into a training set (n=758) and a validation set (n=402). Kaplan-Meier survival plots and Cox proportional hazards regression models were used to analyze prognosis.

resultsOverall survival (OS) was significantly better for patients with resectable PC with low preoperative PLR (p=0.048) and MLR (p=0.027). Low FAR, MLR, NLR (p < 0.001), and PLR (p=0.003) were significantly associated with decreased risk of death for locally advanced or metastatic PC patients. FAR (hazard ratio [HR], 1.522; 95% confidential interval [CI], 1.261 to 1.837; p < 0.001) and MLR (HR, 1.248; 95% CI, 1.017 to 1.532; p=0.034) were independent prognostic factors for locally advanced or metastatic PC.

conclusionThe prognostic roles of FAR, MLR, NLR, and PLR in resectable PC and locally advanced or metastatic PC were different. FAR showed the most prognostic power in locally advanced or metastatic PC. Low FAR was positively correlated with OS in locally advanced or metastatic PC, which could be used to predict the prognosis.

Indexed as

AgedAlbuminsBiomarkers, TumorFemaleFibrinogenHumansMalePancreatic NeoplasmsPrognosisSurvival AnalysisAlbuminsBiomarkers, TumorFibrinogenFibrinogen-to-albumin ratioPancreatic neoplasmsPrognosisSurvivalSystemic inflammatory markers

Identifiers

PMID32854494
PMCPMC7811998
OpenAlexW3080099616

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.